## Simple Genetic Algorithm in Python --Addendum

A brief addendum to my previous post on a simple genetic algorithm. Here I explore how varying the parameters affects our GA performance.

Click to read and post commentsA brief addendum to my previous post on a simple genetic algorithm. Here I explore how varying the parameters affects our GA performance.

Click to read and post commentsA beginner tutorial for an even simpler recurrent neural network implementation in Julia.

Click to read and post commentsHere I'm going to revisit backpropagation theory by thinking about neural networks as computational graphs upon which we can easily visualize the chain rule to compute partial derivatives.

posted at 00:00
by Brandon Brown
· Computational Graphs

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A beginner tutorial on building a simple (Elman) recurrent neural network in Python. We'll build an RNN than can compute XOR on sequential data and another that can predict the next character in a sequence.

Click to read and post commentsA beginner tutorial to understand the theoretical and implementation details of gradient descent by backpropagation using Python.

Click to read and post commentsBeginner tutorial on writing a genetic algorithm to train a simple 2-layer feed-forward neural network. (Ok, I admit it, the "15 lines" is a gimmick)

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